Tingfan Wu

6.3k total citations · 4 hit papers
56 papers, 4.3k citations indexed

About

Tingfan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Hepatology. According to data from OpenAlex, Tingfan Wu has authored 56 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Hepatology. Recurrent topics in Tingfan Wu's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Face and Expression Recognition (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (8 papers). Tingfan Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Face and Expression Recognition (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (8 papers). Tingfan Wu collaborates with scholars based in China, United States and Germany. Tingfan Wu's co-authors include Ruby C. Weng, Chih‐Jen Lin, Javier R. Movellan, Jacob Whitehill, Paul Ruvolo, Marian Stewart Bartlett, Gwen Littlewort, Ian Fasel, Mark G. Frank and Sylvain Bertrand and has published in prestigious journals such as Medicine, Neurocomputing and IEEE Transactions on Robotics.

In The Last Decade

Tingfan Wu

52 papers receiving 4.1k citations

Hit Papers

Probability Estimates for Multi-class Classification by P... 2003 2026 2010 2018 2004 2003 2009 2011 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Probability Estimates for Multi-class Classification by Pairwise Coupling
    2004 1.1k citations Tingfan Wu, Chih‐Jen Lin et al. Journal of Machine Learning Research profile →
  2. Probability Estimates for Multi-Class Classification by Pairwise Coupling
    2003 853 citations Tingfan Wu, Chih‐Jen Lin et al. profile →
  3. Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
    2009 662 citations Jacob Whitehill, Tingfan Wu et al. Neural Information Processing Systems profile →
  4. The computer expression recognition toolbox (CERT)
    2011 398 citations Jacob Whitehill, Tingfan Wu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tingfan Wu China 24 1.4k 1.1k 542 518 488 56 4.3k
Yizhou Wang China 36 1.3k 1.0× 3.3k 2.9× 137 0.3× 347 0.7× 89 0.2× 193 5.1k
Habib Hamam Canada 33 947 0.7× 1.0k 0.9× 134 0.2× 640 1.2× 42 0.1× 339 4.6k
Tadas Baltrušaitis United Kingdom 21 1.9k 1.4× 2.6k 2.4× 98 0.2× 339 0.7× 1.7k 3.4× 51 6.4k
Shuai Liu China 41 2.3k 1.7× 2.0k 1.8× 66 0.1× 550 1.1× 164 0.3× 235 5.6k
Muhammad Sajjad South Korea 36 1.5k 1.1× 2.8k 2.5× 49 0.1× 370 0.7× 418 0.9× 116 5.0k
Antonio M. López Spain 39 1.8k 1.3× 4.9k 4.3× 111 0.2× 489 0.9× 170 0.3× 188 7.3k
Andreas Dengel Germany 40 2.8k 2.0× 3.0k 2.7× 93 0.2× 199 0.4× 228 0.5× 404 7.3k
Ruili Wang New Zealand 36 1.4k 1.0× 1.8k 1.6× 47 0.1× 160 0.3× 271 0.6× 216 5.1k
Junmo Kim South Korea 32 1.5k 1.1× 2.9k 2.5× 39 0.1× 302 0.6× 505 1.0× 196 4.8k
D. Jude Hemanth India 34 1.6k 1.2× 1.5k 1.4× 33 0.1× 1.0k 2.0× 248 0.5× 219 5.0k

Countries citing papers authored by Tingfan Wu

Since Specialization
Citations

This map shows the geographic impact of Tingfan Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tingfan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingfan Wu more than expected).

Fields of papers citing papers by Tingfan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tingfan Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tingfan Wu. The network helps show where Tingfan Wu may publish in the future.

Co-authorship network of co-authors of Tingfan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingfan Wu. A scholar is included among the top collaborators of Tingfan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingfan Wu. Tingfan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Yuan, Wei, Liping Liang, Tingfan Wu, et al.. (2025). Clinical significance of post-chemoradiotherapy 2-[18F]FDG PET/CT response in locally advanced nasopharyngeal carcinoma: A real-world study. Oral Oncology. 161. 107160–107160. 1 indexed citations
3.
Hao, Xiying, Tingfan Wu, Xia Li, et al.. (2025). Dietary energy enhances conception in Holstein heifers via interactions with rumen microbiota. Animal Bioscience. 38(12). 2700–2713.
4.
Wu, Tingfan, Arjun Majumdar, Vincent-Pierre Berges, et al.. (2024). What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?. 17515–17521.
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Wang, Lifan, Qiao Wang, Feng Mao, et al.. (2023). Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study. European Radiology. 33(12). 8899–8911. 11 indexed citations
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Ruan, Weiwei, Fang Liu, Xun Sun, et al.. (2022). Evaluating two respiratory correction methods for abdominal PET/MRI imaging. EJNMMI Physics. 9(1). 5–5. 4 indexed citations
9.
Zeng, Qingsi, et al.. (2021). An Exploratory Study on the Stable Radiomics Features of Metastatic Small Pulmonary Nodules in Colorectal Cancer Patients. Frontiers in Oncology. 11. 661763–661763. 2 indexed citations
10.
Liu, Xijiao, Yuan Yin, Xiaozhou Wang, et al.. (2021). Gastrointestinal stromal tumors: associations between contrast-enhanced CT images and KIT exon 11 gene mutation. Annals of Translational Medicine. 9(19). 1496–1496. 9 indexed citations
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Sun, Xun, Fan Hu, Fang Liu, et al.. (2021). Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson’s disease and multiple system atrophy. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3469–3481. 37 indexed citations
13.
Xiao, Han, Jiali Li, Shuling Chen, et al.. (2021). A Pre-Operative Prognostic Score for Patients With Advanced Hepatocellular Carcinoma Who Underwent Resection. Frontiers in Oncology. 11. 569515–569515. 3 indexed citations
14.
Liu, Kunfeng, Kunwei Li, Tingfan Wu, et al.. (2021). Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT. European Radiology. 32(2). 1065–1077. 27 indexed citations
15.
Sun, Kaiyu, Shuling Chen, Jinning Ye, et al.. (2020). CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer. BMC Cancer. 20(1). 468–468. 42 indexed citations
16.
Shen, Jingxian, Qian Zhou, Zhihang Chen, et al.. (2020). Longitudinal radiomics algorithm of posttreatment computed tomography images for early detecting recurrence of hepatocellular carcinoma after resection or ablation. Translational Oncology. 14(1). 100866–100866. 18 indexed citations
17.
Wang, Wei, Shanshan Wu, Jianchao Zhang, et al.. (2020). Preoperative Pathological Grading of Hepatocellular Carcinoma Using Ultrasomics of Contrast-Enhanced Ultrasound. Academic Radiology. 28(8). 1094–1101. 24 indexed citations
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Whitehill, Jacob, et al.. (2009). Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise. Neural Information Processing Systems. 22. 2035–2043. 662 indexed citations breakdown →
20.
Wu, Tingfan, Chih‐Jen Lin, & Ruby C. Weng. (2004). Probability Estimates for Multi-class Classification by Pairwise Coupling. Journal of Machine Learning Research. 5(5). 975–1005. 1124 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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